Opportunistic QCT Bone Mineral Density Measurements Predicting Osteoporotic Fractures: A Use Case in a Prospective Clinical Cohort

Autor: Claus Zimmer, Veronika A Koeppen-Ursic, Alexandra S. Gersing, Olga Gordijenko, Thomas Baum, Jan S. Kirschke, Yannik Leonhardt, Henrike Brandhorst, Pauline May, Vanadin Seifert-Klauss, Benedikt J. Schwaiger, Marcus R. Makowski
Rok vydání: 2019
Předmět:
Male
0301 basic medicine
Endocrinology
Diabetes and Metabolism

Osteoporosis
osteoporotic fracture
Logistic regression
lcsh:Diseases of the endocrine glands. Clinical endocrinology
Endocrinology
Absorptiometry
Photon

0302 clinical medicine
Bone Density
Medicine
Prospective Studies
Quantitative computed tomography
Original Research
Aged
80 and over

Bone mineral
DXA
fracture prediction
Lumbar Vertebrae
medicine.diagnostic_test
Middle Aged
Prognosis
ddc
Spinal Fractures
Female
musculoskeletal diseases
Clinical cohort
030209 endocrinology & metabolism
fracture liaison service
Thoracic Vertebrae
03 medical and health sciences
Humans
Osteoporotic fracture
Vertebral bone
Aged
lcsh:RC648-665
business.industry
medicine.disease
osteoporosis
Logistic Models
030104 developmental biology
Mineral density
ROC Curve
Tomography
X-Ray Computed

business
Nuclear medicine
bone mineral density
QCT
Osteoporotic Fractures
Follow-Up Studies
Zdroj: Frontiers in Endocrinology, Vol 11 (2020)
Frontiers in Endocrinology
Popis: Purpose To assess whether volumetric vertebral bone mineral density (BMD) measured with opportunistic quantitative computed tomography (QCT) (i.e., CT acquired for other reasons) can predict osteoporotic fracture occurrence in a prospective clinical cohort and how this performs in comparison to dual-energy X-ray absorptiometry (DXA) measurements. Methods In the database of our fracture liaison service, 58 patients (73 ± 11 years, 72% women) were identified that had at least one prevalent low-energy fracture and had undergone CT of the spine. BMD was determined by converting HU using scanner-specific conversion equations. Baseline DXA was available for 31 patients. During a 3-year follow-up, new fractures were diagnosed either by (i) recent in-house imaging or (ii) clinical follow-up with validated external reports. Associations were assessed using logistic regression models, and cut-off values were determined with ROC/Youden analyses. Results Within 3 years, 20 of 58 patients presented new low-energy fractures (34%). Mean QCT BMD of patients with fractures was significantly lower (56 ± 20 vs. 91 ± 38 mg/cm3; p = 0.003) and age was higher (77 ± 10 vs. 71 ± 11 years; p = 0.037). QCT BMD was significantly associated with the occurrence of new fractures, and the OR for developing a new fracture during follow-up was 1.034 (95% CI, 1.010-1.058, p = 0.005), suggesting 3% higher odds for every unit of BMD decrease (1 mg/cm3). Age and sex showed no association. For the differentiation between patients with and without new fractures, ROC showed an AUC of 0.76 and a Youden's Index of J = 0.48, suggesting an optimal cut-off value of 82 mg/cm3. DXA T-scores showed no significant association with fracture occurrence in analogous regression models. Conclusion In this use case, opportunistic BMD measurements attained through QCT predicted fractures during a 3-year follow-up. This suggests that opportunistic measurements are useful to reduce the diagnostic gap and evaluate the fracture risk in osteoporotic patients.
Databáze: OpenAIRE